Design of Student Attendance System Using Internet of Things (IoT) Technology

Abstract

Lecture attendance data at universities is a reference in showing the credibility of each student used by lecturers as data for student grades as well as an evaluation material for the success of teaching and learning activities in lectures, but there are several examples of cases related to student attendance data currently prevalent in the world of education or lectures is the phenomenon of "Leave Absence" or better known as TA. In addition, other problems also arise from lecturers and administrative staff, namely difficulties in monitoring student attendance and efforts to validate attendance data because of the large amount of student data. Therefore in this study a system was proposed to reduce the level of fraud in filling the attendance list and effectiveness of student data processing using a system of applying the concept of the Internet of Things (IoT) with the fingerprint presence method. Existing system modeling results are expected to be able to support the service of processing academic data automatically and produce accurate and accurate statistical data and be able to reduce data manipulation factors from irresponsible parties.